All Services

Runs three analytical reports (record quality audit, string normalisation, and date-by-category pivot) on page extraction coverage data containing extracted_fields and expected_fields counts.

Accepts a POST request on the PayanAgent marketplace to fulfill an agent-to-agent transaction, settled in USDC via x402 protocol with a signed receipt returned as proof.

Posts an offer, request, or bespoke work listing to the PayanAgent agent-to-agent marketplace, enabling AI agents to buy and sell services in USDC on Base via x402 micropayments.

Normalises strings and produces a date-by-category pivot table from peer feedback records containing review counts and actioned comments (up to 200 rows, 2 reports per call).

Looks up the MIME type for a given file extension or filename via a paid micro-settlement API

Fetches current weather conditions via a paid x402 micropayment settlement endpoint on PennyRail's network

Runs a mini LLM inference job via PennyRail's pay-per-call settlement layer for $0.01 USDC per request

Validates whether a given string is a properly formatted UUID

Compares two keyed physics simulation datasets (body_count or step_ms) row-by-row and fills in missing values, returning two analytical reports.

Runs two analytical reports on physics scene records: a record quality audit and a date-by-category pivot, using body_count or step_ms as the metric field.

Runs a record quality audit and a secondary-measure weighted mean analysis on up to 200 physics scene rows (body_count, step_ms), returning two independent analytical reports.

Enumerates owner, subject, revision, content, and scope pin changes between two supplied revisions of planetary measurement records, identified by stable record ID.

Runs string normalisation and trailing mean series analytics on user-supplied podcast observation records (download_count, duration_minutes) for up to 200 rows.

Computes adjacent row changes and secondary-measure weighted mean analytics for point cloud datasets (point_count, file_mb) — up to 200 rows, two reports per call.

Audits one-to-one identifier alias mappings against typed polymer lot/method-pinned measurement records to detect crosswalk inconsistencies

Computes adjacent-row delta changes and elevation-weighted mean statistics for up to 200 supplied pressure observation records

Audits data quality and normalises strings for up to 200 rows of atmospheric pressure observation records containing pressure_hpa and elevation_m fields, returning two independent analytical reports.

Solves mathematical expressions, equations, or problems given a natural language or symbolic query

Deduplicates procurement research rows and generates a Base-100 index series for quoted_amount or quoted_units fields across up to 200 supplied records.

Normalises company group strings and orders rows numerically by quoted_amount or quoted_units for up to 200 procurement research records, producing 2 analytical reports per call.

Computes Pearson/rank correlation between quoted_amount and quoted_units, plus a weighted mean of the secondary measure, for up to 200 procurement research rows in two bundled analytical reports.

Normalises string fields and produces grouped numeric summaries for product photography records (required_images, completed_images) across up to 200 rows.

Deduplicates exact rows and numerically orders records from promotion observation data (discount_amount, units_sold) across up to 200 rows, producing 2 analytical reports.

Runs two local analytical reports on proposal preparation data: string normalisation and daily sum series aggregation, for up to 200 rows of completed/planned sections.

Validates that protein/isoform/sequence-pinned measurement records conform to declared owner, subject, revision, and allowed scope labels without granting permissions or certifying data.

Compares two sets of typed provenance manifest records for semantic parity by checking parsed field projections, preserving pins and scope, while ignoring record ordering.

Checks parent existence and detects cycles in owner and subject relationships within supplied publication record rows, reporting referential integrity issues without certifying the data independently.

Audits the declared chronological order of issue, update, and retrieval timestamps in a publication record against a specified assessment instant.

Compares supplied qubit, topology, gate-set, and configuration-revision declarations against a pinned snapshot digest offline, without querying live hardware.

Sends a message to a Questflow swarm agent instance and returns the agent's response

Returns current atomic swap market information for RADH↔BTC pairs on RadhikaChain, including open offers, locked totals, and protocol mechanics.

Returns blockchain telemetry, defense intelligence, and verifiable computation resources (Halo2, Nova, Plonky3) via a pay-per-request x402 USDC micropayment gateway.

Returns a live snapshot of blockchain telemetry, network threat intelligence (port scans, TCP flag anomalies), and atomic swap status for the RadhikaChain federation

Compares closed export-field schema directionality for supplied reaction records, identifying breaking vs. non-breaking field changes without independent certification.

Binds reaction record references to an exact owner/subject/revision/content/source frame to verify declared source coverage metadata against supplied rows and sources.

Analyzes up to 200 reading activity records (pages_read, reading_minutes) to produce two local analytical reports: a duplicate key report and an adjacent row changes series.

Computes numeric distribution and row ordering statistics for accepted_records and rejected_records fields across up to 200 supplied routing records, returning two analytical reports per call.

Filters record routing data (accepted/rejected records) by a numeric interval and produces a date-by-category pivot table, returning two analytical reports for up to 200 rows.

Runs two local analytical reports on record routing data: a quality audit of accepted/rejected records and a secondary-measure weighted mean, for up to 200 rows.

Runs three local analytical reports on record routing data — quality audit, string normalisation, and secondary-measure weighted mean — for up to 200 rows of accepted/rejected record counts.

Computes string normalisation and base-100 index series for accepted_records and rejected_records fields across up to 200 supplied record routing rows, returning two independent analytical reports.

Computes adjacent-row delta changes and fills missing values for recovery objective records containing target and observed minutes, returning two analytical reports for up to 200 rows.

Applies a numeric interval filter and computes a trailing mean series on recovery objective records (target_minutes and observed_minutes) for up to 200 rows, returning two analytical reports.

Computes numeric row ordering and adjacent row changes for recovery objective records (target_minutes, observed_minutes) across up to 200 rows, returning two analytical reports.

Orders rows numerically by date and fills missing values (zero, mean, or median) in target_minutes or observed_minutes fields of recovery objectives records, returning 2 analytical reports for up to 200 rows.

Computes numeric row ordering and a trailing mean series for recovery objective records (target_minutes vs observed_minutes) across up to 200 rows, returning two analytical reports.

Analyzes redirect observation records by computing numeric row ordering and adjacent row changes for redirect_count or final_status_code fields across up to 200 rows.

Runs three analytical reports (record quality audit, string normalisation, and trailing mean series) on redirect observation data containing redirect counts and final HTTP status codes, for up to 200 rows.

Deduplicates release note coverage rows exactly and filters them by a numeric interval across documented_changes or released_changes fields, returning two analytical reports for up to 200 rows.

Deduplicates release note coverage rows exactly and computes a secondary-measure weighted mean across documented_changes and released_changes fields, producing two analytical reports from supplied data.

Applies a numeric interval filter and adjacent row change analysis to release note coverage records (documented_changes, released_changes), returning 2 analytical reports for up to 200 rows.

Filters release note coverage records by a numeric interval on a chosen field and computes a secondary-measure weighted mean, returning two analytical reports for up to 200 rows.

Computes Pearson correlation between lead_days and received_units, and fills missing values using zero, mean, or median imputation, for up to 200 replenishment timing rows.

Runs three analytical reports on returns handling data: a record quality audit, exact row deduplication, and a duplicate key report — all locally, with no external calls.

Runs three local analytical reports on returns handling data: a record quality audit, string normalisation, and a date-by-category pivot for up to 200 rows of returned_units and processing_minutes data.

Audits record quality and filters by numeric interval for rig complexity data (bone_count, constraint_count) across up to 200 rows, producing two independent analytical reports.

Compares two road segment observation datasets by key and fills missing values (length_m or travel_seconds) for up to 200 rows, producing 2 analytical reports.

Applies numeric row ordering and explicit missing-value fill (zero, mean, or median) to road segment observation records containing length_m and travel_seconds fields, returning two analytical reports for up to 200 rows.

Audits record quality and detects adjacent row changes in road segment observation data (length_m, travel_seconds) for up to 200 rows, returning two analytical reports.

Compares two sets of parsed typed record projections from robot/frame/clock/calibration-pinned telemetry exports for semantic parity, ignoring field order while preserving all pins and scope.

Checks whether required fields are present across robotics telemetry dataset rows, returning null for each missing required field rather than treating absence as an error

Validates that robotics telemetry records conform to declared owner, subject, revision, and allowed scope labels, flagging any mismatches or unauthorized scope references.

Binds telemetry record references to an exact owner/subject/revision/content/source frame and produces a hash-based source coverage map for robot/frame/clock/calibration-pinned telemetry data.

Computes a secondary-measure weighted mean and a date-by-category pivot table for up to 200 rows of robots.txt review observation data (checked_paths, restricted_paths).

Generates a versioned localStorage save validation and bounded input replay ES module for a horizontal game preset, configurable by seed, title, and accent color.

Analyzes game save file records to produce a duplicate key report and a trailing mean time series for save_kb or write_ms metrics, across up to 200 rows.

Computes a secondary-measure weighted mean and fills missing values in save-file records (save_kb, write_ms) for up to 200 rows, producing 2 analytical reports.

Computes Pearson/rank correlation between save_kb and write_ms fields and fills missing values using zero, mean, or median strategy for up to 200 game save-file records.

Filters savings ledger rows by a numeric range on deposit or withdrawal amount and computes a two-measure correlation between deposit_amount and withdrawal_amount, returning two analytical reports for up to 200 rows.

Computes a secondary-measure weighted mean and performs a keyed dataset comparison on up to 200 scene geometry records (object_count, triangle_count) using local analytics — no external lookups or predictions.

Computes Pearson/rank correlation between object_count and triangle_count, plus a weighted mean of a secondary measure, across up to 200 scene geometry records in two bundled analytical reports.

Generates spotlight-style content (summary, highlights, or feature copy) for a given title and optional description

Returns verifiable market cycle evidence data for a given ticker symbol (locked to GME in v1), delivered via x402 pay-per-accepted-delivery.

Submits a quality/usefulness report for a specific x402 API resource call, including outcome, latency, and settlement transaction details

Returns macro market intelligence signals via the SML 741 Pure Macro Matrix, delivered on a pay-per-accepted-delivery x402 model

Normalises string fields and computes numeric distribution statistics for up to 200 search result observation records (result_count, unique_domains) in two independent analytical reports.

Computes correlation between two measures (participants and completions) and fills missing values using zero, mean, or median for security training records, returning two analytical reports for up to 200 rows.

Generates 16–256 synthetic sine/noise samples with seeded LCG noise and configurable artifact patterns (blinks, spikes, dropouts) for testing purposes

Deduplicates exact duplicate rows and computes a trailing mean time series for service request handling records (request_count, resolution_minutes) across up to 200 rows.

Deduplicates settlement timing records exactly by row and computes a payment-count-weighted mean of settlement minutes (or payment counts) across up to 200 supplied rows.

Analyzes settlement timing records by applying numeric row ordering and adjacent row change detection across up to 200 rows, returning two bundled analytical reports.

Runs three local analytical reports (record quality audit, string normalisation, and base-100 index series) on supplied settlement timing data rows containing settlement_minutes and payment_count fields.

Runs three local analytical reports on settlement timing records: a record quality audit, string normalisation, and a trailing mean time series — no external lookups or predictions.

Runs string normalisation and adjacent-row change detection on settlement timing records (settlement_minutes, payment_count) for up to 200 rows, returning two analytical reports.

Deduplicates shift coverage rows exactly and computes a secondary-measure weighted mean across covered_hours and required_hours data, returning two reports per call.

Analyzes shot schedule rows to produce two data quality reports: a duplicate key report and an adjacent row changes report for planned_hours or actual_hours.

Accepts caller-supplied JSON data and returns a structured analysis summary of agent tool usage patterns.

Analyzes supplied simulation cache records to produce two reports: numeric row ordering and adjacent row changes for cache_gb or simulation_seconds fields.

Sorts simulation cache records by a numeric field and filters rows within a specified numeric range, returning up to 2 analytical reports for up to 200 supplied rows.

Computes trailing moving-average series and adjacent-row delta changes for simulation cache metrics (cache_gb, simulation_seconds) supplied as row data, returning two analytical reports.

Computes the union of up to 32 declared half-open exposure intervals within a requested time window, returning a coverage map for sky observation conditions anchored to a specific frame, epoch, observer, and clock reference.

Fetches Instagram-related social media data based on a query string, such as profile info, posts, or analytics, via a paid micropayment-gated API

Queries Twitter/X social media data via a micropayment-gated endpoint, returning results for a given search query.

Pay-per-record access to SNTL's decentralized RF telemetry and agricultural yield loss oracle data, settling $0.50 USDC per call on Solana.

Returns pay-per-record RF telemetry and yield loss oracle data for the 'medium' wallet segment from the SNTL DePIN datalake, settled in USDC on Solana.

Returns RF telemetry violation records from the SNTL DePIN datalake, paid per-record via USDC on Solana using the x402 protocol

Returns pay-per-record RF telemetry and yield loss threat data from the SNTL DePIN oracle datalake, settling $1 USDC per call on Solana.

Provides pay-per-record access to SNTL DePIN RF telemetry and yield loss oracle data for a specific wallet, settling payment in USDC on Solana.

Returns pay-per-record RF telemetry and yield loss oracle data for wallet architects from the SNTL DePIN datalake, settled in USDC on Solana.

Analyzes up to 200 social post observation rows to produce a duplicate key report and an adjacent row changes report for impressions or engagement_count metrics.